Faded Critical Dynamics in Adult Moyamoya Disease Revealed by EEG and fMRI

2020 ◽  
Author(s):  
Yu Lei ◽  
Yuzhu Li ◽  
Lianchun Yu ◽  
Longzhou Xu ◽  
Xin Zhang ◽  
...  
2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Yu Lei ◽  
Yuzhu Li ◽  
Lianchun Yu ◽  
Longzhou Xu ◽  
Xin Zhang ◽  
...  

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 ( H MMD ) and 34 ischemic ( I MMD ) 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 H MMD and 13 I MMD patients and 21 healthy controls were in good quality for analysis. Regarding the 4 metrics of neural avalanches (e.g., size ( α ), duration ( β ), κ value, and branching parameter ( σ )), both MMD subtypes exhibited subcritical states in the EC state. When switching to the WM state, H MMD remained inactive, while I MMD surpassed controls and became supercritical ( p < 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 ( p < 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 H MMD and right pre-/postcentral gyrus and right inferior temporal gyrus of I MMD . 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.


2021 ◽  
Vol 84 (2) ◽  
pp. 119-123
Author(s):  
Mami Ishikawa ◽  
Satoshi Terao ◽  
Hiroshi Kagami ◽  
Makoto Inaba ◽  
Heiji Naritaka

<b><i>Background:</i></b> Patients with moyamoya disease often develop cerebral infarction and hemorrhage, but the ischemic and hemorrhagic subtypes are difficult to diagnose prior to disease onset. We aimed to differentiate the ischemic and hemorrhagic subtypes of moyamoya disease by analyzing the intralateral and perilateral ventricular arteries on the original axial magnetic resonance angiography (MRA) images. <b><i>Methods:</i></b> We retrospectively analyzed the intralateral and perilateral ventricular arteries on the original axial time-of-flight (TOF)-MRA images of 18 patients with hemorrhagic moyamoya disease, 25 patients with ischemic moyamoya disease, and 22 control patients with unruptured aneurysms. <b><i>Results:</i></b> There were significantly more intralateral and perilateral ventricular arteries on the original axial MRA images in the patients with hemorrhagic moyamoya disease (6.3 ± 2.7) than in those with ischemic moyamoya disease (0.8 ± 0.9) and those with unruptured aneurysms (0.4 ± 0.8). <b><i>Conclusion:</i></b> The intralateral and perilateral ventricular arteries on the original axial TOF-MRA images might suggest the hemorrhagic type of moyamoya disease prior to onset.


1999 ◽  
Vol 51 (2) ◽  
pp. 158-163 ◽  
Author(s):  
Shinya Sato ◽  
Reizo Shirane ◽  
Shin Maruoka ◽  
Takashi Yoshimoto

2007 ◽  
Vol 68 (3) ◽  
pp. 335-337 ◽  
Author(s):  
Yasunari Otawara ◽  
Kuniaki Ogasawara ◽  
Kaoru Seki ◽  
Michihiro Kibe ◽  
Yoshitaka Kubo ◽  
...  

Stroke ◽  
2018 ◽  
Vol 49 (11) ◽  
pp. 2597-2604 ◽  
Author(s):  
Jong-Won Chung ◽  
Dong Hee Kim ◽  
Mi Jeong Oh ◽  
Yeon Hee Cho ◽  
Eun Hee Kim ◽  
...  

2004 ◽  
Vol 18 (2) ◽  
pp. 115-121 ◽  
Author(s):  
Rishu Piao ◽  
Naohiko Oku ◽  
Kazuo Kitagawa ◽  
Masao Imaizumi ◽  
Kohji Matsushita ◽  
...  

1998 ◽  
Vol 157 (1) ◽  
pp. 100-104 ◽  
Author(s):  
Teruyuki Hirano ◽  
Eiichiro Uyama ◽  
Kazuhiro Tashima ◽  
Shuji Mita ◽  
Makoto Uchino

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