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Default Mode Network Changes in Moyamoya Disease Before and After Bypass Surgery: Preliminary Report.

Yusuke Sakamoto, Sho Okamoto, Satoshi Maesawa, Epifanio Bagarinao, Yoshio Araki, Takashi Izumi, Hirohisa Watanabe, Gen Sobue, Toshihiko Wakabayashi

World neurosurgery January 31, 2018 DOI: 10.1016/j.wneu.2018.01.117 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Observational case-control study with preoperative and 6-month postoperative follow-up Peer reviewed
Sample size 7
Population Patients with moyamoya disease, compared with 127 healthy controls
Intervention Vascular reconstruction surgery
Duration 6 months after surgery
Topics Default mode network
Keywords Nerve net Humans Moyamoya disease Magnetic resonance imaging Treatment outcome Cerebral revascularization Postoperative period Memory, short-term Reaction time Neuropsychological tests Middle aged Female Young adult Bypass surgery
Key findings Working memory and performance speed scores were inversely correlated with the degree of default mode network disruption in moyamoya disease, suggesting a possible relationship between higher cognitive function and orderliness of fundamental brain networks. Vascular reconstruction surgery may contribute to normalization of brain networks, and resting-state network analysis may yield potential biomarkers for cognition in moyamoya disease.

Abstract

Objective: Neurocognitive impairment is often reported in moyamoya disease. We aimed to detect default mode network (DMN) alterations using resting-state functional magnetic resonance imaging and their association with neurocognitive impairments. In addition, the influence of surgical treatment was individually evaluated.

Methods: Seven patients with moyamoya disease underwent preoperative resting-state functional magnetic resonance imaging and neuropsychologic tests. We compared the resting-state networks (RSNs) of our patients with those obtained from relatively large cohort datasets (127 healthy controls) using group independent component analysis with dual regression analysis. We also explored correlations between RSN alterations and neuropsychologic scores. We evaluated individuals again 6 months after surgery to identify changes.

Results: Patients had statistically significant differences in DMN connectivity compared with healthy controls. There were marked changes in functional connectivity of the ventral DMN of patients with low working memory and performance speed scores. These changes were characterized by increases and decreases in various locations. In contrast, patients with average or high neuropsychologic scores showed similar connectivity to the controls. In 5 patients who underwent vascular reconstruction surgery, DMN functional connectivity changed to resemble that of healthy controls.

Conclusions: In moyamoya disease, working memory and performance speed scores were inversely correlated to the degree of disruption of the DMN, suggesting a possible relationship between higher cognitive function and orderliness of fundamental brain networks. Vascular reconstruction surgery may contribute to normalization of brain networks. Analysis of RSNs may produce potential biomarkers for cognition in moyamoya disease.

Comparable studies

Other observational and cohort studies on default mode network, most cited first.

Study Year Design Participants
A default mode of brain function Normal adult human brain 2001 Observational study
Resting-State Functional Connectivity Reflects Structural Connectivity in the Default Mode Network Healthy subjects 2008 Observational cohort
Meditation experience is associated with increased cortical thickness Participants with extensive Insight meditation experience and matched controls 2005 Observational cohort n = 20
Meditation experience is associated with differences in default mode network activity and connectivity Experienced meditators and matched meditation-naive controls 2011 Observational cohort
The precuneus/posterior cingulate cortex plays a pivotal role in the default mode network: Evidence from a partial correlation network analysis Healthy subjects 2008 Observational study

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