Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China.
State Key Laboratory of Medical Neurobiology, School of Life Science and Human Phenome Institute, Institute of Brain Science, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200040, China.
Oxid Med Cell Longev. 2021 Apr 16;2021:6640108. doi: 10.1155/2021/6640108. eCollection 2021.
Criticality is considered a dynamic signature of healthy brain activity that can be measured on the short-term timescale with neural avalanches and long-term timescale with long-range temporal correlation (LRTC). It is unclear how the brain dynamics change in adult moyamoya disease (MMD). We used BOLD-fMRI for LRTC analysis from 16 hemorrhagic ( ) and 34 ischemic ( ) patients and 25 healthy controls. Afterwards, they were examined by EEG recordings in the eyes-closed (EC), eyes-open (EO), and working memory (WM) states. The EEG data of 11 and 13 patients and 21 healthy controls were in good quality for analysis. Regarding the 4 metrics of neural avalanches (e.g., size (), duration (), value, and branching parameter ()), both MMD subtypes exhibited subcritical states in the EC state. When switching to the WM state, remained inactive, while surpassed controls and became supercritical ( < 0.05). Regarding LRTC, the amplitude envelope in the EC state was more analogous to random noise in the MMD patients than in controls. During state transitions, LRTC decreased sharply in the controls but remained chaotic in the MMD individuals ( < 0.05). The spatial LRTC reduction distribution based on both EEG and fMRI in the EC state implied that, compared with controls, the two MMD subtypes might exhibit mutually independent but partially overlapping patterns. The regions showing decreased LRTC in both EEG and fMRI were the left supplemental motor area of and right pre-/postcentral gyrus and right inferior temporal gyrus of . This study not only sheds light on the decayed critical dynamics of MMD in both the resting and task states for the first time but also proposes several EEG and fMRI features to identify its two subtypes.
大脑的活动状态被认为是健康大脑活动的动态特征，可以通过神经爆发在短期时间尺度上进行测量，通过长程时间相关(long-range temporal correlation, LRTC)在长期时间尺度上进行测量。目前尚不清楚成人烟雾病(moyamoya disease, MMD)患者的大脑动力学如何变化。我们使用 BOLD-fMRI 对 16 名出血性( )和 34 名缺血性( )患者以及 25 名健康对照者进行了 LRTC 分析。随后，在闭眼(eyes-closed, EC)、睁眼(eyes-open, EO)和工作记忆(working memory, WM)状态下对他们进行了 EEG 记录检查。11 名 患者和 13 名 患者以及 21 名健康对照者的 EEG 数据质量良好，可用于分析。对于神经爆发的 4 项指标(如大小(size, )、持续时间(duration, )、 值和分支参数(branching parameter, ))，两种 MMD 亚型在 EC 状态下均表现为亚临界状态。当切换到 WM 状态时， 仍然不活跃，而 超过了对照组，变得超临界(supercritical, > 0.05)。对于 LRTC，EC 状态下的振幅包络在 MMD 患者中比在对照组中更类似于随机噪声。在状态转换过程中，对照组的 LRTC 急剧下降，而 MMD 患者的 LRTC 仍然混乱(< 0.05)。EC 状态下基于 EEG 和 fMRI 的空间 LRTC 减少分布表明，与对照组相比，两种 MMD 亚型可能表现出相互独立但部分重叠的模式。在 EEG 和 fMRI 中都显示出 LRTC 减少的区域包括左补充运动区和右前/后中央回以及右颞下回。本研究不仅首次揭示了 MMD 在静息和任务状态下衰退的临界动力学，而且还提出了一些 EEG 和 fMRI 特征来识别其两种亚型。
