Literature DB >> 29374613

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

Yusuke Sakamoto1, Sho Okamoto1, Satoshi Maesawa2, Epifanio Bagarinao3, Yoshio Araki1, Takashi Izumi1, Hirohisa Watanabe4, Gen Sobue4, Toshihiko Wakabayashi1.   

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.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bypass surgery; Functional magnetic resonance imaging; Moyamoya disease

Mesh:

Year:  2018        PMID: 29374613     DOI: 10.1016/j.wneu.2018.01.117

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.104


  5 in total

1.  Reorganization of the Brain Structural Covariance Network in Ischemic Moyamoya Disease Revealed by Graph Theoretical Analysis.

Authors:  Peijing Wang; Wenjie Li; Huan Zhu; Xingju Liu; Tao Yu; Dong Zhang; Yan Zhang
Journal:  Front Aging Neurosci       Date:  2022-06-02       Impact factor: 5.702

Review 2.  Late Cerebrovascular Events and Social Outcome after Adolescence: Long-term Outcome of Pediatric Moyamoya Disease.

Authors:  Takeshi Funaki; Jun C Takahashi; Susumu Miyamoto
Journal:  Neurol Med Chir (Tokyo)       Date:  2018-05-21       Impact factor: 1.742

Review 3.  Application of DTI and fMRI in moyamoya disease.

Authors:  Xiaokuan Hao; Ziqi Liu; Shihao He; Yanru Wang; Yuanli Zhao; Rong Wang
Journal:  Front Neurol       Date:  2022-08-05       Impact factor: 4.086

4.  Progression in Vascular Cognitive Impairment: Pathogenesis, Neuroimaging Evaluation, and Treatment.

Authors:  Xin Zhang; Jiabin Su; Chao Gao; Wei Ni; Xinjie Gao; Yuxin Li; Jun Zhang; Yu Lei; Yuxiang Gu
Journal:  Cell Transplant       Date:  2018-11-29       Impact factor: 4.139

Review 5.  Progression in Moyamoya Disease: Clinical Features, Neuroimaging Evaluation, and Treatment.

Authors:  Xin Zhang; Weiping Xiao; Qing Zhang; Ding Xia; Peng Gao; Jiabin Su; Heng Yang; Xinjie Gao; Wei Ni; Yu Lei; Yuxiang Gu
Journal:  Curr Neuropharmacol       Date:  2022       Impact factor: 7.708

  5 in total

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